Senior Manager AI & Data / Data Strategist TC UKI

Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft; Manchester; On-site; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading global consultancy seeks a Senior Manager, AI & Data Strategist in Manchester to guide AI transformation for diverse sectors. The ideal candidate will deliver enterprise-level AI strategies and foster a unified AI vision across teams. Essential qualifications include a STEM degree and experience in developing AI strategies for multinational organisations. If you're passionate about driving business value with AI, this role offers a unique opportunity in a dynamic environment.

Qualifications

• Experience delivering enterprise-level AI strategies for multinational organisations.
• Knowledge of modern data architectures and AI infrastructure including DAMA.
• Ability to lead the design of operating models for AI functions.

Responsibilities

• Guide and coordinate AI transformation initiatives across various industry sectors.
• Define comprehensive AI and data strategies tailored to client organisations.
• Present complex AI concepts and recommendations to senior leadership.

Skills

Team leadership

Communication skills

Stakeholder management

Strategic thinking

Continuous learning

Education

STEM degree or equivalent certification

Tools

AI/ML technologies

Cloud platforms

Data governance frameworks

Job description

Senior Manager, AI & Data, Data Strategist, TC UKI

Location: Manchester

Other locations: Primary Location Only

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AI and Data Strategist

Grade: Senior Manager

Position Overview

We are seeking a Senior Manager grade AI and Data Strategist to guide and coordinate AI transformation initiatives for clients across multiple industry sectors. This role demands a strategic business technologist who can translate AI capabilities into tangible business value while designing the organisational frameworks needed to become an AI-first enterprise.

• Lead an engagement workstream consisting of AI consultants and architects to define comprehensive AI and data strategies tailored to client organisations across consumer products, retail, health, energy, and life sciences sectors
• Bring current global thinking and trends in the AI, Automation and Data space including within EY.
• Carry out in-depth analysis of industry-specific value chain and identify a portfolio of high impact AI use cases, to drive revenue growth, operational efficiency, and competitive differentiationli>
• Assess organisational AI and data maturity and create tailored roadmaps for transformation including business cases, operating models, organisational structure and capabilities required to deliver the strategy
• Direct the definition of high-level business and technology architectures and operating models that enable scalable AI deployment (encompassing both data and automation)
• Lead cross-functional workshops and design sessions with senior stakeholder to influence and align diverse stakeholder groups around a unified AI vision
• Present complex AI concepts and recommendations to senior leadership audiences
• Prioritise AI initiatives based on strategic value, feasibility, and organisational readiness
• Contribute to solution development and oversee quality of proposals for AI-led transformation
• Provide mentorship and guidance to team members and develop reusable assets
• Support change management initiatives to embed AI-driven and automation-enabled culture across client organisations. Ensure strategies align with ethical AI principles, regulatory compliance (e.g., GDPR, AI Act), and risk mitigation frameworks.
• Support internal processes to approve designs and proposals that have integrity and are commercially sound

Essential Qualifications

• STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
• Demonstrated experience of delivering enterprise-level AI strategies for complex or multinational organisations
• Expertise in at least two of the following industries: consumer products, retail, healthcare, energy, or life sciences
• Able to oversee the design of operating models and organisational structures for data and AI functions
• Able to lead the interaction with client organisations to write business or investment cases
• Good understanding of the latest AI/ML technologies, including generative AI, predictive analytics, computer vision, and NLP
• Knowledge of modern data architectures, cloud platforms, and AI infrastructure including DAMA
• Knowledge of AI governance frameworks, model risk management, and regulatory requirements

Soft Skills

• Team leadership and coaching skills
• Communication and presentation skills.
• Stakeholder management skills, including facilitation and workshop design capabilities as well as the ability to influence senior stakeholders
• Demonstrated ability to collaborate in multi-disciplinary teams (data scientists, engineers, business strategists)
• Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment
• Strategic thinking with demonstrated ability to translate complex technical concepts into business language and explain how they drive business value

Preferred Criteria

• Experience with Big 4 consulting methodologies and framework

Preferred Qualification

• Certifications in relevant areas (e.g., cloud platforms, data governance, AI ethics, automation technologies)